Results 81 to 90 of about 388,592 (291)
Advanced RBF Methods for Mapping Aerodynamic Loads onto Structures in High-Fidelity FSI Simulations
FluidsThe reliable exchange of data is a crucial issue for the loose coupling of computational fluid dynamics (CFD) and computational structural mechanics (CSM) modules in fluid–structure interaction (FSI) applications. This paper presents a comparison between
Andrea Chiappa +2 more
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ON APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR MODELING OF WATER CONSUMPTION
Водное хозяйство России: проблемы, технологии, управление, 2021 The article shows the capabilities of artificial neural networks built on radial basis functions for the study of water consumption by various branches of the Don River basin water system.
Alexander N. Salugin +1 more
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Extending the range of error estimates for radial approximation in Euclidean space and on spheres
, 2006 We adapt Schaback's error doubling trick [R. Schaback. Improved error bounds for scattered data interpolation by radial basis functions. Math. Comp., 68(225):201--216, 1999.] to give error estimates for radial interpolation of functions with smoothness ...
Duchon J. +4 more
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Heterogeneous radial basis function networks
Proceedings of International Conference on Neural Networks (ICNN'96), 2002 Radial basis function (RBF) networks typically use a distance function designed for numeric attributes, such as Euclidean or city-block distance. This paper presents a heterogeneous distance function which is appropriate for applications with symbolic attributes, numeric attributes, or both.
D. Randall Wilson, Tony R. Martinez
openaire +2 more sources
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
Advanced Engineering Materials, EarlyView.A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
MathematicsThe method of particular solutions (MPS) has been widely applied for solving various types of partial differential equations. In this paper, the space–time collocation technique is implemented using MPS with polynomial basis functions (MPS-PBF) to solve ...
Thir Dangal +2 more
doaj +1 more source
Influence of an Oxygen‐Free Atmosphere on Diamond‐Single‐Grain Scratching of Ti–6Al–4V
Advanced Engineering Materials, EarlyView.Single‐grain scratching of Ti–6Al–4V is investigated under controlled, oxygen‐free, and ambient atmospheres using a novel experimental setup with in situ high‐speed imaging. The approach enables direct observation of chip formation and adhesion under suppressed oxidation.
Berend Denkena +2 more
wiley +1 more source
Big Geo Data Surface Approximation using Radial Basis Functions: A Comparative Study
, 2017 Approximation of scattered data is often a task in many engineering problems. The Radial Basis Function (RBF) approximation is appropriate for big scattered datasets in $n-$dimensional space.
Majdisova, Zuzana, Skala, Vaclav
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Advanced Engineering Materials, EarlyView.New features on yttria‐stabilized zirconia after exposure at 1500°C: Newly discovered pyramidal structures on an old material. After exposure at 1550°C on the cross section of YSZ new features, namely pyramidal structures are discovered. These structures grow with time, increase in numbers, appear as singularities, are often arranged in strings, and ...
Doris Sebold +2 more
wiley +1 more source
Radial basis functions for the sphere [PDF]
In this paper we compute the ultraspherical series expansions for the more commonly used radial basis functions. In several special cases we provide asymptotic estimates for the decay rate of the coefficients involved.
Baxter, Brad J.C., Hubbert, Simon
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